Lead Data Engineer

Job Description

Responsibilities

• Assemble large, complex data that meet functional/non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc
• Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs

Requirement

• Bachelor's degree with Minimum 1.5+ years of experience working in globally distributed teams successfully
• Must have experience working on Python and data handling frameworks(spark, beam, etc)
• Apply experience with cloud storage and computing for data pipelines in GCP (GCS, BQ, composer, etc)
• Write pipelines in Airflow to orchestrate data pipelines
• Experience handling data from 3rd party providers is a great plus: Google Analytics, Google Ads etc.
• Experience in manipulating, processing and extracting value from large disconnected data sets.
• Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations)
• Basic knowledge on dbt is a good to have
• Knowledge on data privacy and security
• Excellent verbal and written communication skills

Perks:

• Monthly long weekends — every third Friday off
• Wellness reimbursement to support your health and balance
• Paid parental leave
• Remote-first with flexibility and trustWork with a world-class data and marketing team inside a globally recognized brand